Staff Software Engineer, People Products

Anthropic•San Francisco, CA

5d•$320,000 - $405,000•Hybrid

About The Position

The People Products team at Anthropic is responsible for defining the blueprint for AI at work. This involves supporting Anthropic's mission by improving hiring processes, ensuring manager effectiveness, facilitating successful new hire onboarding, and shaping Anthropic's culture through the tools they build. The team covers the entire employee lifecycle, from hiring to onboarding, teamwork, and promotions. The role offers the opportunity to work directly with Claude on unique, unsolved problems, with a fast-paced development cycle from prototype to production. The team values cross-functional thinkers who can reason across product, design, and engineering, and offers high autonomy, ownership, and frequent shipping opportunities. This position is for individuals who want to fix problematic people practices at a leading AI company.

Requirements

Derive joy from hard work and the act of creation.
Shipped LLM-native features or applications.
Experienced enough to build big features independently, and make great architectural decisions along the way.
Self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
Genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
A collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Nice To Haves

Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
Background at an AI-native company or in a product-focused 0->1 engineering environment.
Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Responsibilities

Build full-stack end-to-end across the People Products portfolio.
Design and implement AI-native workflows: build tools, evals, prompts, and products.
Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly.
Make product and architecture decisions independently in a low-structure environment.
Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.